Data Scientist II - Payments & Fraud (Hybrid)

Early Warning; New York (NY); Hybrid; USD 122,000 - 162,000; Full time

Benefits offered by this job

Healthcare Coverage

401(k) Retirement Plan with company M

Paid Time Off

Paid Parental Leave

Job summary

Early Warning is seeking a data science professional to join a team delivering machine learning solutions for the financial ecosystem. You will understand business needs, explore data, build and validate algorithms, and deploy models to drive results.

The role involves end-to-end feature engineering, production code development, and collaboration with Product and Engineering to surface trends. A strong ML background and ability to communicate with non-technical audiences are essential.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, CS, OR or related field.
• A minimum of 4 years data science, engineering, mathematics, or related work experience is required.
• Experience developing data science pipelines and workflows in Python, R or equivalent language; SQL experience.
• Experience applying ML techniques and understanding key performance parameters.
• Experience using ML libraries and data visualization tools.
• Able to write production level, well-written and explainable code.
• Interest in rapid prototyping and proof-of-concepts.
• Ability to communicate findings to non-technical audiences.
• Background and drug screen.

Responsibilities

• Explore and aggregate data independently to uncover anomalies impacting model performance.
• End-to-end feature engineering from brainstorm to down-selection.
• Write production-ready code in a dynamic startup environment.
• Address problems using terabyte-size datasets.
• Apply ML techniques to business problems to find optimal approaches.
• Partner with Product and Engineering to identify trends and opportunities.
• Explain and visualize results and model performance to non-technical audiences.
• Support data and system integrity and confidentiality.

Skills

Data science

Python

R

SQL

Machine learning

Data visualization

Production code

Communication

Terabyte datasets

Education

Bachelor’s Degree in Mathematics, Statistics, Computer Science, Operational Research or related field

Tools

Python

R

SQL

scikit-learn

ML libraries

Job description

Early Warning is seeking a data science professional to join a team delivering machine learning solutions for the financial ecosystem. You will understand business needs, explore data, build and validate algorithms, and deploy models to drive results.

The role involves end-to-end feature engineering, production code development, and collaboration with Product and Engineering to surface trends. A strong ML background and ability to communicate with non-technical audiences are essential.